The following publications are possibly variants of this publication:
- Automatic Indic script identification from handwritten documents: page, block, line and word-level approachSk Md Obaidullah, K. C. Santosh, Chayan Halder, Nibaran Das, Kaushik Roy 0004. mlc, 10(1):87-106, 2019. [doi]
- Indic script identification from handwritten document images - An unconstrained block-level approachSk Md Obaidullah, Nibaran Das, Chayan Halder, Kaushik Roy. retis 2015: 213-218 [doi]
- Handwritten Indic Script Identification in Multi-Script Document Images: A SurveySk Md Obaidullah, K. C. Santosh, Nibaran Das, Chayan Halder, Kaushik Roy 0004. ijprai, 32(10):1856012, 2018. [doi]
- Handwritten Indic Script Identification - A Multi-level ApproachSubhasmita Ghosh, Ashif Sheikh, Sk. Golam Sarowar Hossain, Sk Md Obaidullah, K. C. Santosh, Nibaran Das, Kaushik Roy 0004. cicba 2019: 109-123 [doi]
- PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identificationSk Md Obaidullah, Chayan Halder, K. C. Santosh, Nibaran Das, Kaushik Roy 0004. mta, 77(2):1643-1678, 2018. [doi]
- Extreme learning machine for handwritten Indic script identification in multiscript documentsSk Md Obaidullah, Amitava Bose, Himadri Mukherjee, K. C. Santosh, Nibaran Das, Kaushik Roy 0004. jei, 27(05):51214, 2018. [doi]
- Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script ScenarioSk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy. ijssmet, 7(1):43-60, 2016. [doi]
- Separating Indic Scripts with 'matra' - A Precursor to Script Identification in Multi-script DocumentsSk Md Obaidullah, Chitrita Goswami, K. C. Santosh, Chayan Halder, Nibaran Das, Kaushik Roy 0004. cvip 2017: 205-214 [doi]